Overview

Brought to you by YData

Dataset statistics

Number of variables	24
Number of observations	100
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	18.9 KiB
Average record size in memory	193.3 B

Variable types

Categorical	8
Text	1
Numeric	15

Alerts

`SKU` has unique values	Unique
`Price` has unique values	Unique
`Revenue generated` has unique values	Unique
`Shipping costs` has unique values	Unique
`Manufacturing costs` has unique values	Unique
`Defect rates` has unique values	Unique
`Costs` has unique values	Unique

Reproduction

Analysis started	2024-11-02 16:35:33.644984
Analysis finished	2024-11-02 16:36:32.515455
Duration	58.87 seconds
Software version	ydata-profiling vv4.12.0
Download configuration	config.json

Product type
Categorical

Distinct	3
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Memory size	928.0 B

skincare	40
haircare	34
cosmetics	26

Length

Max length	9
Median length	8
Mean length	8.26
Min length	8

Characters and Unicode

Total characters	826
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	haircare
2nd row	skincare
3rd row	haircare
4th row	skincare
5th row	skincare

Common Values

Value	Count	Frequency (%)
skincare	40	40.0%
haircare	34	34.0%
cosmetics	26	26.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
skincare	40	40.0%
haircare	34	34.0%
cosmetics	26	26.0%

Most occurring characters

Value	Count	Frequency (%)
c	126	15.3%
a	108	13.1%
r	108	13.1%
i	100	12.1%
e	100	12.1%
s	92	11.1%
k	40	4.8%
n	40	4.8%
h	34	4.1%
o	26	3.1%
Other values (2)	52	6.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	826	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
c	126	15.3%
a	108	13.1%
r	108	13.1%
i	100	12.1%
e	100	12.1%
s	92	11.1%
k	40	4.8%
n	40	4.8%
h	34	4.1%
o	26	3.1%
Other values (2)	52	6.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	826	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
c	126	15.3%
a	108	13.1%
r	108	13.1%
i	100	12.1%
e	100	12.1%
s	92	11.1%
k	40	4.8%
n	40	4.8%
h	34	4.1%
o	26	3.1%
Other values (2)	52	6.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	826	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
c	126	15.3%
a	108	13.1%
r	108	13.1%
i	100	12.1%
e	100	12.1%
s	92	11.1%
k	40	4.8%
n	40	4.8%
h	34	4.1%
o	26	3.1%
Other values (2)	52	6.3%

SKU
Text

Unique

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	928.0 B

Length

Max length	5
Median length	5
Mean length	4.9
Min length	4

Characters and Unicode

Total characters	490
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	100 ?
Unique (%)	100.0%

Sample

1st row	SKU0
2nd row	SKU1
3rd row	SKU2
4th row	SKU3
5th row	SKU4

Value	Count	Frequency (%)
sku0	1	1.0%
sku12	1	1.0%
sku2	1	1.0%
sku3	1	1.0%
sku4	1	1.0%
sku5	1	1.0%
sku6	1	1.0%
sku7	1	1.0%
sku8	1	1.0%
sku9	1	1.0%
Other values (90)	90	90.0%

Most occurring characters

Value	Count	Frequency (%)
S	100	20.4%
K	100	20.4%
U	100	20.4%
6	20	4.1%
3	20	4.1%
7	20	4.1%
2	20	4.1%
1	20	4.1%
9	20	4.1%
8	20	4.1%
Other values (3)	50	10.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	490	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
S	100	20.4%
K	100	20.4%
U	100	20.4%
6	20	4.1%
3	20	4.1%
7	20	4.1%
2	20	4.1%
1	20	4.1%
9	20	4.1%
8	20	4.1%
Other values (3)	50	10.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	490	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
S	100	20.4%
K	100	20.4%
U	100	20.4%
6	20	4.1%
3	20	4.1%
7	20	4.1%
2	20	4.1%
1	20	4.1%
9	20	4.1%
8	20	4.1%
Other values (3)	50	10.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	490	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
S	100	20.4%
K	100	20.4%
U	100	20.4%
6	20	4.1%
3	20	4.1%
7	20	4.1%
2	20	4.1%
1	20	4.1%
9	20	4.1%
8	20	4.1%
Other values (3)	50	10.2%

Price
Real number (ℝ)

Unique

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	49.462461

Minimum	1.699976
Maximum	99.171329
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	928.0 B

Quantile statistics

Minimum	1.699976
5-th percentile	4.0507218
Q1	19.597823
median	51.239831
Q3	77.198228
95-th percentile	96.396366
Maximum	99.171329
Range	97.471353
Interquartile range (IQR)	57.600405

Descriptive statistics

Standard deviation	31.168193
Coefficient of variation (CV)	0.63013833
Kurtosis	-1.3734706
Mean	49.462461
Median Absolute Deviation (MAD)	28.292667
Skewness	-0.022538919
Sum	4946.2461
Variance	971.45624
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
69.80800554	1	1.0%
13.01737679	1	1.0%
83.85101768	1	1.0%
90.20442752	1	1.0%
6.381533163	1	1.0%
47.91454182	1	1.0%
54.86552852	1	1.0%
37.93181238	1	1.0%
87.75543235	1	1.0%
26.03486977	1	1.0%
Other values (90)	90	90.0%

Value	Count	Frequency (%)
1.699976014	1	1.0%
2.397274706	1	1.0%
3.037688725	1	1.0%
3.170011414	1	1.0%
3.526111259	1	1.0%
4.078332863	1	1.0%
4.156308359	1	1.0%
4.324341186	1	1.0%
4.805496036	1	1.0%
6.306883176	1	1.0%

Value	Count	Frequency (%)
99.17132864	1	1.0%
99.11329162	1	1.0%
98.03182966	1	1.0%
97.76008558	1	1.0%
97.44694662	1	1.0%
96.34107244	1	1.0%
95.71213588	1	1.0%
92.99688423	1	1.0%
92.55736081	1	1.0%
91.12831835	1	1.0%

Availability
Real number (ℝ)

Distinct	63
Distinct (%)	63.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	48.4

Minimum	1
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	928.0 B

Quantile statistics

Minimum	1
5-th percentile	5.95
Q1	22.75
median	43.5
Q3	75
95-th percentile	96.05
Maximum	100
Range	99
Interquartile range (IQR)	52.25

Descriptive statistics

Standard deviation	30.743317
Coefficient of variation (CV)	0.63519249
Kurtosis	-1.3319932
Mean	48.4
Median Absolute Deviation (MAD)	27.5
Skewness	0.18361821
Sum	4840
Variance	945.15152
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11	4	4.0%
55	3	3.0%
75	3	3.0%
29	3	3.0%
16	3	3.0%
56	3	3.0%
23	3	3.0%
90	3	3.0%
26	3	3.0%
34	3	3.0%
Other values (53)	69	69.0%

Value	Count	Frequency (%)
1	2	2.0%
3	1	1.0%
5	2	2.0%
6	1	1.0%
9	2	2.0%
10	2	2.0%
11	4	4.0%
12	1	1.0%
13	1	1.0%
14	2	2.0%

Value	Count	Frequency (%)
100	1	1.0%
99	1	1.0%
98	1	1.0%
97	2	2.0%
96	1	1.0%
95	2	2.0%
94	1	1.0%
93	2	2.0%
91	1	1.0%
90	3	3.0%

Number of products sold
Real number (ℝ)

Distinct	96
Distinct (%)	96.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	460.99

Minimum	8
Maximum	996
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	928.0 B

Quantile statistics

Minimum	8
5-th percentile	60.5
Q1	184.25
median	392.5
Q3	704.25
95-th percentile	960.15
Maximum	996
Range	988
Interquartile range (IQR)	520

Descriptive statistics

Standard deviation	303.78007
Coefficient of variation (CV)	0.65897324
Kurtosis	-1.2513936
Mean	460.99
Median Absolute Deviation (MAD)	241.5
Skewness	0.28141802
Sum	46099
Variance	92282.333
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
336	2	2.0%
320	2	2.0%
134	2	2.0%
963	2	2.0%
246	1	1.0%
637	1	1.0%
32	1	1.0%
511	1	1.0%
163	1	1.0%
513	1	1.0%
Other values (86)	86	86.0%

Value	Count	Frequency (%)
8	1	1.0%
24	1	1.0%
25	1	1.0%
29	1	1.0%
32	1	1.0%
62	1	1.0%
65	1	1.0%
79	1	1.0%
83	1	1.0%
93	1	1.0%

Value	Count	Frequency (%)
996	1	1.0%
987	1	1.0%
980	1	1.0%
963	2	2.0%
960	1	1.0%
946	1	1.0%
933	1	1.0%
919	1	1.0%
916	1	1.0%
913	1	1.0%

Revenue generated
Real number (ℝ)

Unique

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5776.0482

Minimum	1061.6185
Maximum	9866.4655
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	928.0 B

Quantile statistics

Minimum	1061.6185
5-th percentile	1835.248
Q1	2812.8472
median	6006.352
Q3	8253.9769
95-th percentile	9571.8604
Maximum	9866.4655
Range	8804.8469
Interquartile range (IQR)	5441.1298

Descriptive statistics

Standard deviation	2732.8417
Coefficient of variation (CV)	0.47313347
Kurtosis	-1.4175921
Mean	5776.0482
Median Absolute Deviation (MAD)	2472.9427
Skewness	-0.17382939
Sum	577604.82
Variance	7468424
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8661.996792	1	1.0%
4256.949141	1	1.0%
7910.886916	1	1.0%
2633.121981	1	1.0%
8180.337085	1	1.0%
7014.887987	1	1.0%
1752.381087	1	1.0%
3550.218433	1	1.0%
9473.798033	1	1.0%
8367.721618	1	1.0%
Other values (90)	90	90.0%

Value	Count	Frequency (%)
1061.618523	1	1.0%
1229.591029	1	1.0%
1292.458418	1	1.0%
1605.8669	1	1.0%
1752.381087	1	1.0%
1839.609426	1	1.0%
1889.07359	1	1.0%
1912.465663	1	1.0%
1935.206794	1	1.0%
2021.14981	1	1.0%

Value	Count	Frequency (%)
9866.465458	1	1.0%
9692.31804	1	1.0%
9655.135103	1	1.0%
9592.63357	1	1.0%
9577.749626	1	1.0%
9571.550487	1	1.0%
9473.798033	1	1.0%
9444.742033	1	1.0%
9435.762609	1	1.0%
9364.673505	1	1.0%

Customer demographics
Categorical

Distinct	4
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	928.0 B

Unknown	31
Female	25
Non-binary	23
Male	21

Length

Max length	10
Median length	7
Mean length	6.81
Min length	4

Characters and Unicode

Total characters	681
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Non-binary
2nd row	Female
3rd row	Unknown
4th row	Non-binary
5th row	Non-binary

Common Values

Value	Count	Frequency (%)
Unknown	31	31.0%
Female	25	25.0%
Non-binary	23	23.0%
Male	21	21.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
unknown	31	31.0%
female	25	25.0%
non-binary	23	23.0%
male	21	21.0%

Most occurring characters

Value	Count	Frequency (%)
n	139	20.4%
e	71	10.4%
a	69	10.1%
o	54	7.9%
l	46	6.8%
U	31	4.6%
w	31	4.6%
k	31	4.6%
F	25	3.7%
m	25	3.7%
Other values (7)	159	23.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	681	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	139	20.4%
e	71	10.4%
a	69	10.1%
o	54	7.9%
l	46	6.8%
U	31	4.6%
w	31	4.6%
k	31	4.6%
F	25	3.7%
m	25	3.7%
Other values (7)	159	23.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	681	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	139	20.4%
e	71	10.4%
a	69	10.1%
o	54	7.9%
l	46	6.8%
U	31	4.6%
w	31	4.6%
k	31	4.6%
F	25	3.7%
m	25	3.7%
Other values (7)	159	23.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	681	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	139	20.4%
e	71	10.4%
a	69	10.1%
o	54	7.9%
l	46	6.8%
U	31	4.6%
w	31	4.6%
k	31	4.6%
F	25	3.7%
m	25	3.7%
Other values (7)	159	23.3%

Stock levels
Real number (ℝ)

Distinct	65
Distinct (%)	65.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	47.77

Minimum	0
Maximum	100
Zeros	1
Zeros (%)	1.0%
Negative	0
Negative (%)	0.0%
Memory size	928.0 B

Quantile statistics

Minimum	0
5-th percentile	4
Q1	16.75
median	47.5
Q3	73
95-th percentile	97
Maximum	100
Range	100
Interquartile range (IQR)	56.25

Descriptive statistics

Standard deviation	31.369372
Coefficient of variation (CV)	0.65667514
Kurtosis	-1.2343435
Mean	47.77
Median Absolute Deviation (MAD)	29
Skewness	0.10159282
Sum	4777
Variance	984.03747
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5	5	5.0%
90	4	4.0%
48	3	3.0%
100	3	3.0%
10	3	3.0%
4	3	3.0%
96	2	2.0%
60	2	2.0%
42	2	2.0%
57	2	2.0%
Other values (55)	71	71.0%

Value	Count	Frequency (%)
0	1	1.0%
1	2	2.0%
2	1	1.0%
4	3	3.0%
5	5	5.0%
6	1	1.0%
9	1	1.0%
10	3	3.0%
11	1	1.0%
12	1	1.0%

Value	Count	Frequency (%)
100	3	3.0%
98	1	1.0%
97	2	2.0%
96	2	2.0%
95	1	1.0%
93	2	2.0%
92	1	1.0%
90	4	4.0%
89	1	1.0%
86	1	1.0%

Lead times
Real number (ℝ)

Distinct	29
Distinct (%)	29.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.96

Minimum	1
Maximum	30
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	928.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	8
median	17
Q3	24
95-th percentile	29
Maximum	30
Range	29
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	8.7858012
Coefficient of variation (CV)	0.5504888
Kurtosis	-1.1888488
Mean	15.96
Median Absolute Deviation (MAD)	8
Skewness	-0.12983854
Sum	1596
Variance	77.190303
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
1	6	6.0%
27	6	6.0%
17	6	6.0%
25	5	5.0%
19	5	5.0%
23	5	5.0%
8	5	5.0%
29	5	5.0%
26	5	5.0%
18	4	4.0%
Other values (19)	48	48.0%

Value	Count	Frequency (%)
1	6	6.0%
2	3	3.0%
3	1	1.0%
4	2	2.0%
5	4	4.0%
6	2	2.0%
7	3	3.0%
8	5	5.0%
9	2	2.0%
10	3	3.0%

Value	Count	Frequency (%)
30	2	2.0%
29	5	5.0%
28	1	1.0%
27	6	6.0%
26	5	5.0%
25	5	5.0%
24	3	3.0%
23	5	5.0%
22	2	2.0%
20	2	2.0%

Order quantities
Real number (ℝ)

Distinct	61
Distinct (%)	61.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	49.22

Minimum	1
Maximum	96
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	928.0 B

Quantile statistics

Minimum	1
5-th percentile	7
Q1	26
median	52
Q3	71.25
95-th percentile	88
Maximum	96
Range	95
Interquartile range (IQR)	45.25

Descriptive statistics

Standard deviation	26.784429
Coefficient of variation (CV)	0.54417776
Kurtosis	-1.1192733
Mean	49.22
Median Absolute Deviation (MAD)	23.5
Skewness	-0.10737313
Sum	4922
Variance	717.40566
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
85	6	6.0%
72	4	4.0%
66	4	4.0%
51	3	3.0%
26	3	3.0%
11	3	3.0%
52	3	3.0%
27	3	3.0%
22	3	3.0%
96	2	2.0%
Other values (51)	66	66.0%

Value	Count	Frequency (%)
1	1	1.0%
2	1	1.0%
4	1	1.0%
6	1	1.0%
7	2	2.0%
8	1	1.0%
9	2	2.0%
10	2	2.0%
11	3	3.0%
15	1	1.0%

Value	Count	Frequency (%)
96	2	2.0%
95	1	1.0%
94	1	1.0%
88	2	2.0%
85	6	6.0%
83	2	2.0%
82	1	1.0%
80	2	2.0%
78	2	2.0%
77	1	1.0%

Shipping times
Real number (ℝ)

Distinct	10
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.75

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	928.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3.75
median	6
Q3	8
95-th percentile	10
Maximum	10
Range	9
Interquartile range (IQR)	4.25

Descriptive statistics

Standard deviation	2.7242829
Coefficient of variation (CV)	0.47378833
Kurtosis	-1.0712955
Mean	5.75
Median Absolute Deviation (MAD)	2
Skewness	-0.2815893
Sum	575
Variance	7.4217172
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
8	16	16.0%
7	14	14.0%
9	11	11.0%
4	10	10.0%
6	10	10.0%
3	10	10.0%
1	10	10.0%
5	8	8.0%
10	6	6.0%
2	5	5.0%

Value	Count	Frequency (%)
1	10	10.0%
2	5	5.0%
3	10	10.0%
4	10	10.0%
5	8	8.0%
6	10	10.0%
7	14	14.0%
8	16	16.0%
9	11	11.0%
10	6	6.0%

Value	Count	Frequency (%)
10	6	6.0%
9	11	11.0%
8	16	16.0%
7	14	14.0%
6	10	10.0%
5	8	8.0%
4	10	10.0%
3	10	10.0%
2	5	5.0%
1	10	10.0%

Shipping carriers
Categorical

Distinct	3
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Memory size	928.0 B

Carrier B	43
Carrier C	29
Carrier A	28

Length

Max length	9
Median length	9
Mean length	9
Min length	9

Characters and Unicode

Total characters	900
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Carrier B
2nd row	Carrier A
3rd row	Carrier B
4th row	Carrier C
5th row	Carrier A

Common Values

Value	Count	Frequency (%)
Carrier B	43	43.0%
Carrier C	29	29.0%
Carrier A	28	28.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
carrier	100	50.0%
b	43	21.5%
c	29	14.5%
a	28	14.0%

Most occurring characters

Value	Count	Frequency (%)
r	300	33.3%
C	129	14.3%
a	100	11.1%
i	100	11.1%
e	100	11.1%
	100	11.1%
B	43	4.8%
A	28	3.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	900	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	300	33.3%
C	129	14.3%
a	100	11.1%
i	100	11.1%
e	100	11.1%
	100	11.1%
B	43	4.8%
A	28	3.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	900	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	300	33.3%
C	129	14.3%
a	100	11.1%
i	100	11.1%
e	100	11.1%
	100	11.1%
B	43	4.8%
A	28	3.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	900	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	300	33.3%
C	129	14.3%
a	100	11.1%
i	100	11.1%
e	100	11.1%
	100	11.1%
B	43	4.8%
A	28	3.1%

Shipping costs
Real number (ℝ)

Unique

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.5481491

Minimum	1.0134866
Maximum	9.9298162
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	928.0 B

Quantile statistics

Minimum	1.0134866
5-th percentile	1.4055747
Q1	3.5402477
median	5.320534
Q3	7.6016949
95-th percentile	9.5745308
Maximum	9.9298162
Range	8.9163297
Interquartile range (IQR)	4.0614472

Descriptive statistics

Standard deviation	2.6513755
Coefficient of variation (CV)	0.47788469
Kurtosis	-1.1835666
Mean	5.5481491
Median Absolute Deviation (MAD)	2.231315
Skewness	-0.053738287
Sum	554.81491
Variance	7.0297922
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2.956572139	1	1.0%
2.457933528	1	1.0%
1.512936837	1	1.0%
6.59961416	1	1.0%
9.228190317	1	1.0%
6.315717755	1	1.0%
9.70528679	1	1.0%
1.194251865	1	1.0%
9.147811545	1	1.0%
2.216142729	1	1.0%
Other values (90)	90	90.0%

Value	Count	Frequency (%)
1.013486566	1	1.0%
1.019487571	1	1.0%
1.194251865	1	1.0%
1.311023756	1	1.0%
1.32527401	1	1.0%
1.409801095	1	1.0%
1.45430531	1	1.0%
1.512936837	1	1.0%
1.532655274	1	1.0%
1.729568564	1	1.0%

Value	Count	Frequency (%)
9.929816245	1	1.0%
9.898140508	1	1.0%
9.741291689	1	1.0%
9.716574771	1	1.0%
9.70528679	1	1.0%
9.567648921	1	1.0%
9.537283061	1	1.0%
9.235931437	1	1.0%
9.228190317	1	1.0%
9.160558535	1	1.0%

Supplier name
Categorical

Distinct	5
Distinct (%)	5.0%
Missing	0
Missing (%)	0.0%
Memory size	928.0 B

Supplier 1	27
Supplier 2	22
Supplier 5	18
Supplier 4	18
Supplier 3	15

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1000
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Supplier 3
2nd row	Supplier 3
3rd row	Supplier 1
4th row	Supplier 5
5th row	Supplier 1

Common Values

Value	Count	Frequency (%)
Supplier 1	27	27.0%
Supplier 2	22	22.0%
Supplier 5	18	18.0%
Supplier 4	18	18.0%
Supplier 3	15	15.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
supplier	100	50.0%
1	27	13.5%
2	22	11.0%
5	18	9.0%
4	18	9.0%
3	15	7.5%

Most occurring characters

Value	Count	Frequency (%)
p	200	20.0%
S	100	10.0%
u	100	10.0%
l	100	10.0%
i	100	10.0%
e	100	10.0%
r	100	10.0%
	100	10.0%
1	27	2.7%
2	22	2.2%
Other values (3)	51	5.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
p	200	20.0%
S	100	10.0%
u	100	10.0%
l	100	10.0%
i	100	10.0%
e	100	10.0%
r	100	10.0%
	100	10.0%
1	27	2.7%
2	22	2.2%
Other values (3)	51	5.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
p	200	20.0%
S	100	10.0%
u	100	10.0%
l	100	10.0%
i	100	10.0%
e	100	10.0%
r	100	10.0%
	100	10.0%
1	27	2.7%
2	22	2.2%
Other values (3)	51	5.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
p	200	20.0%
S	100	10.0%
u	100	10.0%
l	100	10.0%
i	100	10.0%
e	100	10.0%
r	100	10.0%
	100	10.0%
1	27	2.7%
2	22	2.2%
Other values (3)	51	5.1%

Location
Categorical

Distinct	5
Distinct (%)	5.0%
Missing	0
Missing (%)	0.0%
Memory size	928.0 B

Kolkata	25
Mumbai	22
Chennai	20
Bangalore	18
Delhi	15

Length

Max length	9
Median length	7
Mean length	6.84
Min length	5

Characters and Unicode

Total characters	684
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Mumbai
2nd row	Mumbai
3rd row	Mumbai
4th row	Kolkata
5th row	Delhi

Common Values

Value	Count	Frequency (%)
Kolkata	25	25.0%
Mumbai	22	22.0%
Chennai	20	20.0%
Bangalore	18	18.0%
Delhi	15	15.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
kolkata	25	25.0%
mumbai	22	22.0%
chennai	20	20.0%
bangalore	18	18.0%
delhi	15	15.0%

Most occurring characters

Value	Count	Frequency (%)
a	128	18.7%
l	58	8.5%
n	58	8.5%
i	57	8.3%
e	53	7.7%
o	43	6.3%
h	35	5.1%
K	25	3.7%
k	25	3.7%
t	25	3.7%
Other values (9)	177	25.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	684	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	128	18.7%
l	58	8.5%
n	58	8.5%
i	57	8.3%
e	53	7.7%
o	43	6.3%
h	35	5.1%
K	25	3.7%
k	25	3.7%
t	25	3.7%
Other values (9)	177	25.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	684	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	128	18.7%
l	58	8.5%
n	58	8.5%
i	57	8.3%
e	53	7.7%
o	43	6.3%
h	35	5.1%
K	25	3.7%
k	25	3.7%
t	25	3.7%
Other values (9)	177	25.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	684	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	128	18.7%
l	58	8.5%
n	58	8.5%
i	57	8.3%
e	53	7.7%
o	43	6.3%
h	35	5.1%
K	25	3.7%
k	25	3.7%
t	25	3.7%
Other values (9)	177	25.9%

Lead time
Real number (ℝ)

Distinct	29
Distinct (%)	29.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17.08

Minimum	1
Maximum	30
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	928.0 B

Quantile statistics

Minimum	1
5-th percentile	2
Q1	10
median	18
Q3	25
95-th percentile	29
Maximum	30
Range	29
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.8462513
Coefficient of variation (CV)	0.5179304
Kurtosis	-1.1745173
Mean	17.08
Median Absolute Deviation (MAD)	7.5
Skewness	-0.32620585
Sum	1708
Variance	78.256162
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
18	9	9.0%
24	6	6.0%
10	6	6.0%
28	6	6.0%
25	6	6.0%
29	5	5.0%
26	5	5.0%
21	4	4.0%
4	4	4.0%
1	4	4.0%
Other values (19)	45	45.0%

Value	Count	Frequency (%)
1	4	4.0%
2	2	2.0%
3	3	3.0%
4	4	4.0%
5	3	3.0%
6	1	1.0%
7	2	2.0%
8	2	2.0%
9	2	2.0%
10	6	6.0%

Value	Count	Frequency (%)
30	2	2.0%
29	5	5.0%
28	6	6.0%
27	3	3.0%
26	5	5.0%
25	6	6.0%
24	6	6.0%
23	3	3.0%
22	3	3.0%
21	4	4.0%

Production volumes
Real number (ℝ)

Distinct	96
Distinct (%)	96.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	567.84

Minimum	104
Maximum	985
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	928.0 B

Quantile statistics

Minimum	104
5-th percentile	172.9
Q1	352
median	568.5
Q3	797
95-th percentile	953.1
Maximum	985
Range	881
Interquartile range (IQR)	445

Descriptive statistics

Standard deviation	263.04686
Coefficient of variation (CV)	0.46324116
Kurtosis	-1.2932782
Mean	567.84
Median Absolute Deviation (MAD)	230
Skewness	-0.076547131
Sum	56784
Variance	69193.651
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
791	2	2.0%
671	2	2.0%
867	2	2.0%
171	2	2.0%
215	1	1.0%
358	1	1.0%
444	1	1.0%
152	1	1.0%
258	1	1.0%
775	1	1.0%
Other values (86)	86	86.0%

Value	Count	Frequency (%)
104	1	1.0%
109	1	1.0%
152	1	1.0%
171	2	2.0%
173	1	1.0%
176	1	1.0%
177	1	1.0%
179	1	1.0%
198	1	1.0%
202	1	1.0%

Value	Count	Frequency (%)
985	1	1.0%
971	1	1.0%
964	1	1.0%
963	1	1.0%
955	1	1.0%
953	1	1.0%
937	1	1.0%
934	1	1.0%
929	1	1.0%
921	1	1.0%

Manufacturing lead time
Real number (ℝ)

Distinct	30
Distinct (%)	30.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14.77

Minimum	1
Maximum	30
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	928.0 B

Quantile statistics

Minimum	1
5-th percentile	2
Q1	7
median	14
Q3	23
95-th percentile	29
Maximum	30
Range	29
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	8.9124303
Coefficient of variation (CV)	0.60341437
Kurtosis	-1.2944597
Mean	14.77
Median Absolute Deviation (MAD)	7.5
Skewness	0.18499721
Sum	1477
Variance	79.431414
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
7	8	8.0%
28	7	7.0%
11	6	6.0%
23	5	5.0%
18	5	5.0%
4	5	5.0%
5	5	5.0%
29	4	4.0%
10	4	4.0%
21	4	4.0%
Other values (20)	47	47.0%

Value	Count	Frequency (%)
1	3	3.0%
2	3	3.0%
3	3	3.0%
4	5	5.0%
5	5	5.0%
6	3	3.0%
7	8	8.0%
8	3	3.0%
9	2	2.0%
10	4	4.0%

Value	Count	Frequency (%)
30	2	2.0%
29	4	4.0%
28	7	7.0%
27	2	2.0%
26	2	2.0%
25	2	2.0%
24	3	3.0%
23	5	5.0%
22	1	1.0%
21	4	4.0%

Manufacturing costs
Real number (ℝ)

Unique

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	47.266693

Minimum	1.0850686
Maximum	99.466109
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	928.0 B

Quantile statistics

Minimum	1.0850686
5-th percentile	5.7820993
Q1	22.983299
median	45.905622
Q3	68.621026
95-th percentile	97.113967
Maximum	99.466109
Range	98.38104
Interquartile range (IQR)	45.637726

Descriptive statistics

Standard deviation	28.982841
Coefficient of variation (CV)	0.61317683
Kurtosis	-1.0923693
Mean	47.266693
Median Absolute Deviation (MAD)	23.065387
Skewness	0.19149769
Sum	4726.6693
Variance	840.00509
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
46.27987924	1	1.0%
20.07500398	1	1.0%
46.8702388	1	1.0%
55.7604929	1	1.0%
30.66167748	1	1.0%
11.44078182	1	1.0%
77.62776581	1	1.0%
97.11358156	1	1.0%
7.057876147	1	1.0%
42.08443674	1	1.0%
Other values (90)	90	90.0%

Value	Count	Frequency (%)
1.08506857	1	1.0%
1.597222743	1	1.0%
1.900762244	1	1.0%
4.465278435	1	1.0%
5.604690864	1	1.0%
5.79143663	1	1.0%
5.930693646	1	1.0%
7.057876147	1	1.0%
8.693042426	1	1.0%
9.005807429	1	1.0%

Value	Count	Frequency (%)
99.4661086	1	1.0%
98.60995724	1	1.0%
97.82905011	1	1.0%
97.7305938	1	1.0%
97.12128175	1	1.0%
97.11358156	1	1.0%
96.52735279	1	1.0%
96.42282064	1	1.0%
95.33206455	1	1.0%
92.0651606	1	1.0%

Inspection results
Categorical

Distinct	3
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Memory size	928.0 B

Pending	41
Fail	36
Pass	23

Length

Max length	7
Median length	4
Mean length	5.23
Min length	4

Characters and Unicode

Total characters	523
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Pending
2nd row	Pending
3rd row	Pending
4th row	Fail
5th row	Fail

Common Values

Value	Count	Frequency (%)
Pending	41	41.0%
Fail	36	36.0%
Pass	23	23.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
pending	41	41.0%
fail	36	36.0%
pass	23	23.0%

Most occurring characters

Value	Count	Frequency (%)
n	82	15.7%
i	77	14.7%
P	64	12.2%
a	59	11.3%
s	46	8.8%
e	41	7.8%
d	41	7.8%
g	41	7.8%
F	36	6.9%
l	36	6.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	523	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	82	15.7%
i	77	14.7%
P	64	12.2%
a	59	11.3%
s	46	8.8%
e	41	7.8%
d	41	7.8%
g	41	7.8%
F	36	6.9%
l	36	6.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	523	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	82	15.7%
i	77	14.7%
P	64	12.2%
a	59	11.3%
s	46	8.8%
e	41	7.8%
d	41	7.8%
g	41	7.8%
F	36	6.9%
l	36	6.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	523	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	82	15.7%
i	77	14.7%
P	64	12.2%
a	59	11.3%
s	46	8.8%
e	41	7.8%
d	41	7.8%
g	41	7.8%
F	36	6.9%
l	36	6.9%

Defect rates
Real number (ℝ)

Unique

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.277158

Minimum	0.018607568
Maximum	4.9392553
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	928.0 B

Quantile statistics

Minimum	0.018607568
5-th percentile	0.13045871
Q1	1.00965
median	2.1418627
Q3	3.5639953
95-th percentile	4.7470562
Maximum	4.9392553
Range	4.9206477
Interquartile range (IQR)	2.5543454

Descriptive statistics

Standard deviation	1.4613655
Coefficient of variation (CV)	0.64174974
Kurtosis	-1.1139982
Mean	2.277158
Median Absolute Deviation (MAD)	1.2702879
Skewness	0.12964432
Sum	227.7158
Variance	2.1355893
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.2264103608	1	1.0%
3.63284329	1	1.0%
4.620546065	1	1.0%
3.213329607	1	1.0%
2.078750608	1	1.0%
1.830575599	1	1.0%
1.362387989	1	1.0%
1.983467872	1	1.0%
0.1319554443	1	1.0%
3.448063288	1	1.0%
Other values (90)	90	90.0%

Value	Count	Frequency (%)
0.01860756763	1	1.0%
0.02116982137	1	1.0%
0.0453022624	1	1.0%
0.1006828516	1	1.0%
0.1020207549	1	1.0%
0.1319554443	1	1.0%
0.1594863147	1	1.0%
0.1658716275	1	1.0%
0.2264103608	1	1.0%
0.3334318252	1	1.0%

Value	Count	Frequency (%)
4.939255289	1	1.0%
4.911095955	1	1.0%
4.854068026	1	1.0%
4.843456577	1	1.0%
4.754800805	1	1.0%
4.746648621	1	1.0%
4.620546065	1	1.0%
4.580592619	1	1.0%
4.548919659	1	1.0%
4.367470538	1	1.0%

Transportation modes
Categorical

Distinct	4
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	928.0 B

Road	29
Rail	28
Air	26
Sea	17

Length

Max length	4
Median length	4
Mean length	3.57
Min length	3

Characters and Unicode

Total characters	357
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Road
2nd row	Road
3rd row	Air
4th row	Rail
5th row	Air

Common Values

Value	Count	Frequency (%)
Road	29	29.0%
Rail	28	28.0%
Air	26	26.0%
Sea	17	17.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
road	29	29.0%
rail	28	28.0%
air	26	26.0%
sea	17	17.0%

Most occurring characters

Value	Count	Frequency (%)
a	74	20.7%
R	57	16.0%
i	54	15.1%
o	29	8.1%
d	29	8.1%
l	28	7.8%
A	26	7.3%
r	26	7.3%
S	17	4.8%
e	17	4.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	357	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	74	20.7%
R	57	16.0%
i	54	15.1%
o	29	8.1%
d	29	8.1%
l	28	7.8%
A	26	7.3%
r	26	7.3%
S	17	4.8%
e	17	4.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	357	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	74	20.7%
R	57	16.0%
i	54	15.1%
o	29	8.1%
d	29	8.1%
l	28	7.8%
A	26	7.3%
r	26	7.3%
S	17	4.8%
e	17	4.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	357	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	74	20.7%
R	57	16.0%
i	54	15.1%
o	29	8.1%
d	29	8.1%
l	28	7.8%
A	26	7.3%
r	26	7.3%
S	17	4.8%
e	17	4.8%

Routes
Categorical

Distinct	3
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Memory size	928.0 B

Route A	43
Route B	37
Route C	20

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	700
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Route B
2nd row	Route B
3rd row	Route C
4th row	Route A
5th row	Route A

Common Values

Value	Count	Frequency (%)
Route A	43	43.0%
Route B	37	37.0%
Route C	20	20.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
route	100	50.0%
a	43	21.5%
b	37	18.5%
c	20	10.0%

Most occurring characters

Value	Count	Frequency (%)
R	100	14.3%
o	100	14.3%
u	100	14.3%
t	100	14.3%
e	100	14.3%
	100	14.3%
A	43	6.1%
B	37	5.3%
C	20	2.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	700	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
R	100	14.3%
o	100	14.3%
u	100	14.3%
t	100	14.3%
e	100	14.3%
	100	14.3%
A	43	6.1%
B	37	5.3%
C	20	2.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	700	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
R	100	14.3%
o	100	14.3%
u	100	14.3%
t	100	14.3%
e	100	14.3%
	100	14.3%
A	43	6.1%
B	37	5.3%
C	20	2.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	700	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
R	100	14.3%
o	100	14.3%
u	100	14.3%
t	100	14.3%
e	100	14.3%
	100	14.3%
A	43	6.1%
B	37	5.3%
C	20	2.9%

Costs
Real number (ℝ)

Unique

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	529.24578

Minimum	103.91625
Maximum	997.41345
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	928.0 B

Quantile statistics

Minimum	103.91625
5-th percentile	134.04373
Q1	318.77846
median	520.43044
Q3	763.07823
95-th percentile	923.73036
Maximum	997.41345
Range	893.4972
Interquartile range (IQR)	444.29978

Descriptive statistics

Standard deviation	258.3017
Coefficient of variation (CV)	0.48805622
Kurtosis	-1.1693231
Mean	529.24578
Median Absolute Deviation (MAD)	239.5189
Skewness	0.040144408
Sum	52924.578
Variance	66719.766
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
187.7520755	1	1.0%
687.2861779	1	1.0%
866.4728001	1	1.0%
677.9445698	1	1.0%
405.1670679	1	1.0%
183.2728987	1	1.0%
207.6632062	1	1.0%
299.7063031	1	1.0%
169.2718014	1	1.0%
393.8433486	1	1.0%
Other values (90)	90	90.0%

Value	Count	Frequency (%)
103.916248	1	1.0%
110.3643352	1	1.0%
123.4370275	1	1.0%
126.7230334	1	1.0%
127.8618	1	1.0%
134.3690969	1	1.0%
141.9202818	1	1.0%
164.3665282	1	1.0%
169.2718014	1	1.0%
183.2728987	1	1.0%

Value	Count	Frequency (%)
997.4134501	1	1.0%
996.778315	1	1.0%
995.9294615	1	1.0%
990.0784725	1	1.0%
929.23529	1	1.0%
923.4406317	1	1.0%
882.1988635	1	1.0%
880.0809882	1	1.0%
879.3592177	1	1.0%
873.129648	1	1.0%

Interactions

Correlations

	Availability	Costs	Customer demographics	Defect rates	Inspection results	Lead time	Lead times	Location	Manufacturing costs	Manufacturing lead time	Number of products sold	Order quantities	Price	Product type	Production volumes	Revenue generated	Routes	Shipping carriers	Shipping costs	Shipping times	Stock levels	Supplier name	Transportation modes
Availability	1.000	-0.042	0.115	0.029	0.158	-0.186	0.169	0.000	0.142	0.077	0.068	0.128	0.000	0.000	0.071	-0.077	0.149	0.171	-0.056	-0.039	-0.048	0.176	0.000
Costs	-0.042	1.000	0.081	0.040	0.000	0.049	0.246	0.091	-0.025	-0.094	-0.035	0.153	0.096	0.000	-0.078	0.033	0.117	0.223	0.041	-0.023	-0.007	0.000	0.246
Customer demographics	0.115	0.081	1.000	0.099	0.140	0.000	0.000	0.000	0.000	0.000	0.147	0.202	0.000	0.189	0.000	0.217	0.000	0.000	0.000	0.000	0.131	0.030	0.000
Defect rates	0.029	0.040	0.099	1.000	0.016	0.280	0.005	0.000	0.008	0.120	-0.086	0.006	-0.149	0.000	0.117	-0.130	0.000	0.068	0.082	-0.035	-0.153	0.000	0.222
Inspection results	0.158	0.000	0.140	0.016	1.000	0.000	0.000	0.000	0.000	0.257	0.187	0.000	0.000	0.000	0.000	0.000	0.000	0.158	0.000	0.000	0.000	0.279	0.000
Lead time	-0.186	0.049	0.000	0.280	0.000	1.000	0.005	0.000	-0.124	0.015	0.046	-0.086	0.155	0.161	0.188	-0.010	0.000	0.104	0.008	-0.052	0.080	0.000	0.036
Lead times	0.169	0.246	0.000	0.005	0.000	0.005	1.000	0.090	-0.020	-0.011	-0.031	0.119	0.038	0.114	-0.137	-0.069	0.241	0.054	-0.118	-0.028	0.095	0.000	0.036
Location	0.000	0.091	0.000	0.000	0.000	0.000	0.090	1.000	0.175	0.000	0.193	0.034	0.125	0.000	0.088	0.000	0.000	0.000	0.061	0.000	0.076	0.000	0.063
Manufacturing costs	0.142	-0.025	0.000	0.008	0.000	-0.124	-0.020	0.175	1.000	-0.137	0.035	-0.035	-0.187	0.248	0.079	-0.222	0.000	0.000	0.019	0.037	0.026	0.164	0.000
Manufacturing lead time	0.077	-0.094	0.000	0.120	0.257	0.015	-0.011	0.000	-0.137	1.000	-0.077	0.104	-0.291	0.081	0.195	0.009	0.000	0.000	-0.007	0.020	-0.065	0.000	0.000
Number of products sold	0.068	-0.035	0.147	-0.086	0.187	0.046	-0.031	0.193	0.035	-0.077	1.000	0.027	0.007	0.161	0.167	0.002	0.000	0.000	0.050	0.090	0.056	0.175	0.000
Order quantities	0.128	0.153	0.202	0.006	0.000	-0.086	0.119	0.034	-0.035	0.104	0.027	1.000	0.102	0.137	-0.064	0.071	0.086	0.000	-0.004	0.003	-0.092	0.038	0.000
Price	0.000	0.096	0.000	-0.149	0.000	0.155	0.038	0.125	-0.187	-0.291	0.007	0.102	1.000	0.260	-0.117	0.032	0.089	0.000	0.045	0.075	0.093	0.000	0.108
Product type	0.000	0.000	0.189	0.000	0.000	0.161	0.114	0.000	0.248	0.081	0.161	0.137	0.260	1.000	0.000	0.000	0.000	0.107	0.155	0.000	0.118	0.199	0.000
Production volumes	0.071	-0.078	0.000	0.117	0.000	0.188	-0.137	0.088	0.079	0.195	0.167	-0.064	-0.117	0.000	1.000	-0.031	0.138	0.000	-0.096	-0.064	0.029	0.155	0.000
Revenue generated	-0.077	0.033	0.217	-0.130	0.000	-0.010	-0.069	0.000	-0.222	0.009	0.002	0.071	0.032	0.000	-0.031	1.000	0.000	0.000	-0.092	-0.125	-0.125	0.066	0.000
Routes	0.149	0.117	0.000	0.000	0.000	0.000	0.241	0.000	0.000	0.000	0.000	0.086	0.089	0.000	0.138	0.000	1.000	0.000	0.000	0.081	0.000	0.000	0.000
Shipping carriers	0.171	0.223	0.000	0.068	0.158	0.104	0.054	0.000	0.000	0.000	0.000	0.000	0.000	0.107	0.000	0.000	0.000	1.000	0.000	0.142	0.216	0.000	0.145
Shipping costs	-0.056	0.041	0.000	0.082	0.000	0.008	-0.118	0.061	0.019	-0.007	0.050	-0.004	0.045	0.155	-0.096	-0.092	0.000	0.000	1.000	0.062	0.082	0.000	0.000
Shipping times	-0.039	-0.023	0.000	-0.035	0.000	-0.052	-0.028	0.000	0.037	0.020	0.090	0.003	0.075	0.000	-0.064	-0.125	0.081	0.142	0.062	1.000	-0.116	0.000	0.157
Stock levels	-0.048	-0.007	0.131	-0.153	0.000	0.080	0.095	0.076	0.026	-0.065	0.056	-0.092	0.093	0.118	0.029	-0.125	0.000	0.216	0.082	-0.116	1.000	0.000	0.000
Supplier name	0.176	0.000	0.030	0.000	0.279	0.000	0.000	0.000	0.164	0.000	0.175	0.038	0.000	0.199	0.155	0.066	0.000	0.000	0.000	0.000	0.000	1.000	0.205
Transportation modes	0.000	0.246	0.000	0.222	0.000	0.036	0.036	0.063	0.000	0.000	0.000	0.000	0.108	0.000	0.000	0.000	0.000	0.145	0.000	0.157	0.000	0.205	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

	Product type	SKU	Price	Availability	Number of products sold	Revenue generated	Customer demographics	Stock levels	Lead times	Order quantities	Shipping times	Shipping carriers	Shipping costs	Supplier name	Location	Lead time	Production volumes	Manufacturing lead time	Manufacturing costs	Inspection results	Defect rates	Transportation modes	Routes	Costs
0	haircare	SKU0	69.808006	55	802	8661.996792	Non-binary	58	7	96	4	Carrier B	2.956572	Supplier 3	Mumbai	29	215	29	46.279879	Pending	0.226410	Road	Route B	187.752075
1	skincare	SKU1	14.843523	95	736	7460.900065	Female	53	30	37	2	Carrier A	9.716575	Supplier 3	Mumbai	23	517	30	33.616769	Pending	4.854068	Road	Route B	503.065579
2	haircare	SKU2	11.319683	34	8	9577.749626	Unknown	1	10	88	2	Carrier B	8.054479	Supplier 1	Mumbai	12	971	27	30.688019	Pending	4.580593	Air	Route C	141.920282
3	skincare	SKU3	61.163343	68	83	7766.836426	Non-binary	23	13	59	6	Carrier C	1.729569	Supplier 5	Kolkata	24	937	18	35.624741	Fail	4.746649	Rail	Route A	254.776159
4	skincare	SKU4	4.805496	26	871	2686.505152	Non-binary	5	3	56	8	Carrier A	3.890548	Supplier 1	Delhi	5	414	3	92.065161	Fail	3.145580	Air	Route A	923.440632
5	haircare	SKU5	1.699976	87	147	2828.348746	Non-binary	90	27	66	3	Carrier B	4.444099	Supplier 4	Bangalore	10	104	17	56.766476	Fail	2.779194	Road	Route A	235.461237
6	skincare	SKU6	4.078333	48	65	7823.476560	Male	11	15	58	8	Carrier C	3.880763	Supplier 3	Kolkata	14	314	24	1.085069	Pending	1.000911	Sea	Route A	134.369097
7	cosmetics	SKU7	42.958384	59	426	8496.103813	Female	93	17	11	1	Carrier B	2.348339	Supplier 4	Bangalore	22	564	1	99.466109	Fail	0.398177	Road	Route C	802.056312
8	cosmetics	SKU8	68.717597	78	150	7517.363211	Female	5	10	15	7	Carrier C	3.404734	Supplier 4	Mumbai	13	769	8	11.423027	Pending	2.709863	Sea	Route B	505.557134
9	skincare	SKU9	64.015733	35	980	4971.145988	Unknown	14	27	83	1	Carrier A	7.166645	Supplier 2	Chennai	29	963	23	47.957602	Pending	3.844614	Rail	Route B	995.929461

	Product type	SKU	Price	Availability	Number of products sold	Revenue generated	Customer demographics	Stock levels	Lead times	Order quantities	Shipping times	Shipping carriers	Shipping costs	Supplier name	Location	Lead time	Production volumes	Manufacturing lead time	Manufacturing costs	Inspection results	Defect rates	Transportation modes	Routes	Costs
90	skincare	SKU90	13.881914	56	320	9592.633570	Non-binary	66	18	96	7	Carrier B	7.674431	Supplier 3	Bangalore	8	585	8	85.675963	Pass	1.219382	Rail	Route B	990.078473
91	cosmetics	SKU91	62.111965	90	916	1935.206794	Male	98	22	85	7	Carrier B	7.471514	Supplier 4	Delhi	5	207	28	39.772883	Pending	0.626002	Rail	Route B	996.778315
92	cosmetics	SKU92	47.714233	44	276	2100.129755	Male	90	25	10	8	Carrier B	4.469500	Supplier 2	Mumbai	4	671	29	62.612690	Pass	0.333432	Rail	Route B	230.092783
93	haircare	SKU93	69.290831	88	114	4531.402134	Unknown	63	17	66	1	Carrier C	7.006432	Supplier 4	Chennai	21	824	20	35.633652	Fail	4.165782	Air	Route A	823.523846
94	cosmetics	SKU94	3.037689	97	987	7888.356547	Unknown	77	26	72	9	Carrier B	6.942946	Supplier 2	Delhi	12	908	14	60.387379	Pass	1.463607	Rail	Route B	846.665257
95	haircare	SKU95	77.903927	65	672	7386.363944	Unknown	15	14	26	9	Carrier B	8.630339	Supplier 4	Mumbai	18	450	26	58.890686	Pending	1.210882	Air	Route A	778.864241
96	cosmetics	SKU96	24.423131	29	324	7698.424766	Non-binary	67	2	32	3	Carrier C	5.352878	Supplier 3	Mumbai	28	648	28	17.803756	Pending	3.872048	Road	Route A	188.742141
97	haircare	SKU97	3.526111	56	62	4370.916580	Male	46	19	4	9	Carrier A	7.904846	Supplier 4	Mumbai	10	535	13	65.765156	Fail	3.376238	Road	Route A	540.132423
98	skincare	SKU98	19.754605	43	913	8525.952560	Female	53	1	27	7	Carrier B	1.409801	Supplier 5	Chennai	28	581	9	5.604691	Pending	2.908122	Rail	Route A	882.198864
99	haircare	SKU99	68.517833	17	627	9185.185829	Unknown	55	8	59	6	Carrier B	1.311024	Supplier 2	Chennai	29	921	2	38.072899	Fail	0.346027	Rail	Route B	210.743009

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)